EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration
arxiv(2024)
摘要
Analog Computing-in-Memory (ACIM) is an emerging architecture to perform
efficient AI edge computing. However, current ACIM designs usually have
unscalable topology and still heavily rely on manual efforts. These drawbacks
limit the ACIM application scenarios and lead to an undesired time-to-market.
This work proposes an end-to-end automated ACIM based on a synthesizable
architecture (EasyACIM). With a given array size and customized cell library,
EasyACIM can generate layouts for ACIMs with various design specifications
end-to-end automatically. Leveraging the multi-objective genetic algorithm
(MOGA)-based design space explorer, EasyACIM can obtain high-quality ACIM
solutions based on the proposed synthesizable architecture, targeting versatile
application scenarios. The ACIM solutions given by EasyACIM have a wide design
space and competitive performance compared to the state-of-the-art (SOTA)
ACIMs.
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